Autoregressive Affective Language Forecasting: A Self-Supervised Task. - Matthew Matero; H. Andrew Schwartz (COLING, 2020)

MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection. - Matthew Matero; Nikita Soni 002; Niranjan Balasubramanian; H. Andrew Schwartz (EMNLP (Findings), 2021)

Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality. - Adithya V. Ganesan; Matthew Matero; Aravind Reddy Ravula; Huy Vu; H. Andrew Schwartz (NAACL-HLT, 2021)

Understanding RoBERTa's Mood: The Role of Contextual-Embeddings as User-Representations for Depression Prediction. - Matthew Matero; Albert Hung; H. Andrew Schwartz (CoRR, 2021)

Human Language Modeling. - Nikita Soni 002; Matthew Matero; Niranjan Balasubramanian; H. Andrew Schwartz (ACL (Findings), 2022)

Understanding BERT's Mood: The Role of Contextual-Embeddings as User-Representations for Depression Assessment. - Matthew Matero; Albert Hung; H. Andrew Schwartz (WASSA@ACL, 2022)

Discourse-Level Representations can Improve Prediction of Degree of Anxiety. - Swanie Juhng; Matthew Matero; Vasudha Varadarajan; Johannes C. Eichstaedt; Adithya V. Ganesan; H. Andrew Schwartz (ACL (2), 2023)

Opioid death projections with AI-based forecasts using social media language. - Matthew Matero; Salvatore Giorgi; Brenda Curtis; Lyle H. Ungar; H. Andrew Schwartz (npj Digit. Medicine, 2023)

Author Correction: Opioid death projections with AI-based forecasts using social media language. - Matthew Matero; Salvatore Giorgi; Brenda Curtis; Lyle H. Ungar; H. Andrew Schwartz (npj Digit. Medicine, 2023)

SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks. - Gourab Dey; Adithya V. Ganesan; Yash Kumar Lal; Manal Shah; Shreyashee Sinha; Matthew Matero; Salvatore Giorgi; Vivek Kulkarni; H. Andrew Schwartz (EACL (2), 2024)